Fully End-to-End Learning Based Conditional Boundary Equilibrium GAN With Receptive Field Sizes Enlarged for Single Ultra-High Resolution Image Dehazing. - Sehwan Ki; Hyeonjun Sim; Jae-Seok Choi; Saehun Kim; Munchurl Kim (CVPR Workshops, 2018)

High-Resolution Image Dehazing With Respect to Training Losses and Receptive Field Sizes. - Hyeonjun Sim; Sehwan Ki; Jae-Seok Choi; Soomin Seo; Saehun Kim; Munchurl Kim (CVPR Workshops, 2018)

Learning of Counting Crowded Birds of Various Scales via Novel Density Activation Maps. - Saehun Kim; Munchurl Kim (IEEE Access, 2020)

Pseudo-Supervised Learning for Semantic Multi-Style Transfer. - Saehun Kim; Jeonghyeok Do; Munchurl Kim (IEEE Access, 2021)

RRADistill: Distilling LLMs' Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine. - Nayoung Choi; Youngjune Lee; Gyu-Hwung Cho; Haeyu Jeong; Jungmin Kong; Saehun Kim; Keunchan Park; Sarah Cho; Inchang Jeong; Gyohee Nam; Sunghoon Han; Wonil Yang; et al. (EMNLP (Industry Track), 2024)

RRADistill: Distilling LLMs' Passage Ranking Ability for Document Re-Ranking of Long-Tail Queries in a Search Engine. - Nayoung Choi; Youngjune Lee; Gyu-Hwung Cho; Haeyu Jeong; Jungmin Kong; Saehun Kim; Keunchan Park; Jaeho Choi; Sarah Cho; Inchang Jeong; Gyohee Nam; Sunghoon Han; et al. (CoRR, 2024)

IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval. - Youngjune Lee; Haeyu Jeong; Changgeon Lim; Jeong Choi; Hongjun Lim; Hangon Kim; Jiyoon Kwon; Saehun Kim (SIGIR, 2025)